Big data mining

Class semester
1st semester
Class type

Topics per week

1. Data mining basic concepts

2. Data types and features

3-4. Data preprocessing and cleaning

5-6. Data classification and clustering

7. Itemset mining

8. Outliers and concept drift

9. Evaluation in data mining

10. Introduction to Natural Language Processing

11. Morphology and language models

12. Vectors semantics and neural representations

13. Syntactic and semantic parsing